Núria Armengol Urpí
Hi! I am Núria. I recently completed my PhD at ETH Zurich in the Computational Robotics Lab, co-supervised by Prof. Stelian Coros at ETH and Prof. Georg Martius from the Autonomous Learning Group at the University of Tübingen. My PhD was partially funded by the CLS doctoral fellowship. Before that, I earned my MSc in Robotics, Systems and Control from ETH Zurich, completing my Master’s thesis in the LAS group supervised by Prof. Andreas Krause.
My research focuses on sample-efficient sequential decision-making for robotics. I aim to develop algorithms that leverage diverse inductive biases to empower agents to efficiently explore new environments and autonomously navigate the real world. My recent work centers on zero-shot RL, specifically on active exploration for learning behavior foundation models from online data in the most sample-efficient way.
In my free time, I love playing sports, reading, and playing music.
news
| May 15, 2026 | |
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| May 01, 2026 | 🗂️ RL-BREW I am co-organising the 3th Workshop in Reinforcement Learning Beyond REWards in RL Conference in Montreal (15th August 2026). |
| Nov 28, 2025 | 👩🏽💻 Finshed internship at Amazon AWS in Berlin, working on agentic LLM’s. |
| Sep 17, 2025 | 🗂️ EWRL 18 I am co-organising the 18th European Workshop in Reinforcement Learning (EWRL18) in Tübingen. |
| May 28, 2025 | 🐝 FBEE (Epistemically-guided forward-backward exploration) accepted in RLC 2025! |
selected publications
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Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning2026 -
Epistemically-guided forward-backward explorationIn Reinforcement Learning Conference, 2025 -
Causal Action Influence Aware Counterfactual Data AugmentationIn Forty-first International Conference on Machine Learning, 2024 -
Efficient Learning of High Level Plans from PlayIn International Conference on Robotics and Automation, 2023 -
Risk-Averse Offline Reinforcement LearningIn International Conference on Learning Representations, 2021